Synthetic Controls with Multiple Outcomes

Seojeong Lee; Valentyn Panchenko; Wei Tian

Synthetic Controls with Multiple Outcomes

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arxiv 2304.02272 v2 pith:YOD77QWZ submitted 2023-04-05 econ.GN q-fin.EC

Wei Tian , Seojeong Lee , Valentyn Panchenko This is my paper

classification econ.GNq-fin.EC

keywords outcomesdimensioneffectmethodmultiplepre-treatmentsynthetictreatment

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We generalize the synthetic control (SC) method to a multiple-outcome framework, where the conventional pre-treatment time dimension is supplemented with the extra dimension of related outcomes in computing the SC weights. This generalization improves the reliability of treatment effect estimation, and can be particularly useful for evaluating the effect of a treatment on multiple outcomes or when only a small number of pre-treatment periods are available. To illustrate our method, we provide a new perspective on the classic SC application to the 1990 German reunification.

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Targeted synthetic control (TSC) is a new two-stage estimator that applies a one-dimensional weight-tilting update to debias synthetic control weights and guarantees the final counterfactual is a convex combination of...

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